Sreelekha Guggilam

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Large Deviations

Multivariate Time Series

Anomaly Detection

Top Venues

Stat. Anal. Data Min.

J. Comput. Sci.

Publications

Philipe A. Dias, Abhishek Potnis, Sreelekha Guggilam, Lexie Yang, Aristeidis Tsaris, Henry Medeiros, Dalton D. Lunga
An Agenda for Multimodal Foundation Models for Earth Observation. IGARSS (2023)
Sreelekha Guggilam, Varun Chandola, Abani K. Patra
Large Deviations for Accelerating Neural Networks Training. CoRR (2023)
Sreelekha Guggilam, Varun Chandola, Abani K. Patra
Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data. J. Comput. Sci. 72 (2023)
Sreelekha Guggilam, Varun Chandola, Abani K. Patra
Tracking clusters and anomalies in evolving data streams. Stat. Anal. Data Min. 15 (2) (2022)
Sreelekha Guggilam, Varun Chandola, Abani K. Patra
Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data. ICCS (1) (2022)
Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. KDD (2022)
Sreelekha Guggilam, Varun Chandola, Abani K. Patra
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle. CoRR (2021)
Sreelekha Guggilam, Syed Mohammed Arshad Zaidi, Varun Chandola, Abani K. Patra
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data. ICCS (4) (2019)
Sreelekha Guggilam, Syed Mohammed Arshad Zaidi, Varun Chandola, Abani K. Patra
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised). CoRR (2019)